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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 1590
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    keywords related to education

    oai_token-act-pair · gpt-3.5-turbo

    terms related to education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pload
    -0.90
    onyms
    -0.67
    orah
    -0.65
     Barker
    -0.65
     Hive
    -0.63
    odon
    -0.63
    ð
    -0.62
    atra
    -0.61
    eu
    -0.61
    osi
    -0.61
    POSITIVE LOGITS
     curric
    1.18
     curriculum
    1.17
     attainment
    1.14
    ally
    0.96
     vit
    0.95
     institutions
    0.91
     reform
    0.87
     instit
    0.85
     acad
    0.84
     indo
    0.84
    Activations Density 0.050%

    No Known Activations